Abstract
Remote sensing has become a primary technology for monitoring raft aquaculture products. However, due to the complexity of the marine aquaculture environment, the boundaries of the raft aquaculture areas in remote sensing images are often blurred, which will result in ‘adhesion’ phenomenon in the raft aquaculture areas extraction. The fully convolutional network (FCN) based methods have made great progress in the field of remote sensing in recent years. In this paper, we proposed an FCN-based end-to-end raft aquaculture areas extraction model (which is called UPS-Net) to overcome the ‘adhesion’ phenomenon. The UPS-Net contains an improved U-Net and a PSE structure. The improved U-Net can simultaneously capture boundary and contextual information of raft aquaculture areas from remote sensing images. The PSE structure can adaptively fuse the boundary and contextual information to reduce the ‘adhesion’ phenomenon. We selected laver raft aquaculture areas in eastern Lianyungang in China as the research region to verify the effectiveness of our model. The experimental results show that compared with several state-of-the-art models, the proposed UPS-Net model performs better at extracting raft aquaculture areas and can significantly reduce the ‘adhesion’ phenomenon.
Highlights
The raft aquaculture is an important intensive aquaculture method
We proposed an improved U-Net with a PSE structure (UPS-Net) for extracting raft aquaculture areas extraction
In order to verify the effectiveness of our proposed raft aquaculture areas extraction method, we compare the UPS-Net on the selected dataset with several state-of-the-art methods, i.e., SVM [40], Mask R-CNN [22], fully convolutional network (FCN) [19], U-Net [20], PSPNet [21], DeepLabv3+ [16] and dual-scale homogeneous convolutional neural network (DS-HCN) [13]
Summary
The raft aquaculture is an important intensive aquaculture method. In coastal seas, floating raft racks are constructed of floats, bamboo and ropes, and fixed by piles or anchors on both sides. The development of the raft aquaculture industry has produced enormous economic benefits [1,2,3]; it has caused some problems such as illegal aquaculture [4,5]. There is an urgent need for improved monitoring of raft aquaculture areas to ensure the orderly development of the raft aquaculture industry
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